Erlangen, Germany

Gregor Koerzdoerfer

USPTO Granted Patents = 12 

Average Co-Inventor Count = 2.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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12 patents (USPTO):Explore Patents

Title: The Innovations of Gregor Koerzdoerfer

Introduction

Gregor Koerzdoerfer is a notable inventor based in Erlangen, Germany. He has made significant contributions to the field of magnetic resonance imaging, holding a total of 12 patents. His work focuses on improving the efficiency and accuracy of data acquisition in medical imaging.

Latest Patents

One of his latest patents involves the acquisition of data from an examination object using magnetic resonance with enhanced time management. This technique allows for the acquisition of data in at least two slices through a pulse sequence. By determining the time intervals between excitations of neighboring slices, he ensures that measurement results are not falsified, while also maintaining the measurement time of the chosen protocol. Another significant patent describes a method for generating an image data set and a reference image data set. This method utilizes two different k-space trajectories to reconstruct image data sets, allowing for the selection of the most similar image data set based on similarity values.

Career Highlights

Throughout his career, Gregor has worked with prominent companies in the healthcare sector, including Siemens Healthcare GmbH and Siemens Healthineers AG. His expertise in magnetic resonance technology has positioned him as a key player in advancing medical imaging techniques.

Collaborations

Gregor has collaborated with esteemed colleagues such as Mathias Nittka and Peter Speier. Their combined efforts have contributed to the development of innovative solutions in the field of medical imaging.

Conclusion

Gregor Koerzdoerfer's contributions to magnetic resonance imaging through his patents and collaborations highlight his role as a leading inventor in the healthcare industry. His work continues to influence the efficiency and accuracy of medical imaging technologies.

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